Personality Traits and Job Candidate Screening via Analyzing Facial Videos

Bekhouche, Salah Eddine; Dornaika, Fadi; Ouafi, Abdelkrim; Taleb‐Ahmed, Abdelmalik

doi:10.1109/cvprw.2017.211

Cited by 34 publications

(22 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Big-Five impressions, job interview variable and transcripts [8], [26], [60], [61], [64] ChaLearn First Impression [9], Audiovisual 2016 10K short videos:~15sec each, collected from 2762 YouTube users, 1280x720 of size, RGB, 30fps, uncontrolled environment Apparent personality trait analysis (no interaction -single person talking to a camera)…”

Section: Apparent Personality Trait and Hirability Impressionsmentioning

confidence: 99%

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Jacques

Güçlütürk

Pérez

et al. 2022

IEEE Trans. Affective Comput.

View full text Add to dashboard Cite

Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point of view, by far speech and text have been the most considered cues of information for analyzing personality. However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data. Recent computer vision approaches are able to accurately analyze human faces, body postures and behaviors, and use these information to infer apparent personality traits. Because of the overwhelming research interest in this topic, and of the potential impact that this sort of methods could have in society, we present in this paper an up-to-date review of existing vision-based approaches for apparent personality trait recognition. We describe seminal and cutting edge works on the subject, discussing and comparing their distinctive features and limitations. Future venues of research in the field are identified and discussed. Furthermore, aspects on the subjectivity in data labeling/evaluation, as well as current datasets and challenges organized to push the research on the field are reviewed.

show abstract

Section: Apparent Personality Trait and Hirability Impressionsmentioning

confidence: 99%

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Jacques

Güçlütürk

Pérez

et al. 2022

IEEE Trans. Affective Comput.

View full text Add to dashboard Cite

show abstract

“…Although the aforementioned approaches yield good results, they are very computationally expensive. [26] use a temporal face texture based approach for analyzing facial videos for job screening, which is much more computationally economical. After the preprocessing step, which involves face identification, 2D pose correction and cropping the region of interest (ROI), texture features of the image are extracted using Local Phase Quantization (LPQ) and Binarized Statistical Image features (BSIF).…”

Section: Modalitymentioning

confidence: 99%

Recent trends in deep learning based personality detection

et al. 2019

View full text Add to dashboard Cite

Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review significant machine learning models which have been employed for personality detection, with an emphasis on deep learning-based methods. This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches. Personality detection is a very broad and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on personality detection.

show abstract

“…This motivates us to decouple the estimation of each personality trait and interview score, suggesting a parallel architecture the suggested deep-learning model was used for estimating each variable (personality trait and job interview score) independently of each others. Figure 5 shows our multi-output architecture for Big-Five personality traits and job interview estimation using multiple branches 2 .…”

Section: B Preprocessingmentioning

confidence: 99%

Towards Job Screening and Personality Traits Estimation From Video Transcriptions

BOUNAB¹,

Oussalah²,

Arhab³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

The paper built on First Impression Challenge from Chalearn V2 Workshop on Explainable Computer Vision Multimedia and Job Candidate Screening Competition CVPR17 by focusing solely on Textual Input in contrast to other Challenge’s participants who considered video or audio modalities. Therefore, the paper aims to develop a new deep learning architecture capable of predicting human personality traits and job interview from the video transcripts. Several feature representations that involve statistical and deep learning have contrasted. Our approach achieved the best score when text modality alone were employed, yielding an average of 89% score in human personality traits and 89.10% value for job interview. The research results will help companies and other organization studying human personality to assess a human personality using a minimum textual resources from the job candidates

show abstract

Personality Traits and Job Candidate Screening via Analyzing Facial Videos

Cited by 34 publications

References 3 publications

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Recent trends in deep learning based personality detection

Towards Job Screening and Personality Traits Estimation From Video Transcriptions

Contact Info

Product

Resources

About